Eureka AIR delivers breakthrough ideas for toughest innovation challenges, trusted by R&D personnel around the world.

Oil-gas microorganism gene exploration method

A technology of microorganisms and indicator microorganisms, applied in the field of oil and gas exploration, can solve problems such as misjudgment or misjudgment in exploration areas, interference data, invalid data, etc., and achieve the effects of excellent prediction results, reduced data volume, and reduced data noise

Inactive Publication Date: 2021-02-02
新方舟能源科技(天津)有限公司
View PDF4 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

If the microbial information of the forward modeling well location is not fully considered, some of the obtained data may be invalid or disturbed, resulting in misjudgment or misjudgment of the exploration area

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Oil-gas microorganism gene exploration method
  • Oil-gas microorganism gene exploration method
  • Oil-gas microorganism gene exploration method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0039] A method for oil and gas microbial gene exploration, which is to carry out oil and gas exploration in a certain exploration area, comprising the following steps:

[0040] The sample collection in the early stage is the same as that in oil and gas microbial exploration.

[0041] Specific steps are as follows:

[0042] 1. Based on the geological background of the exploration area and previous research results, customize the technical service plan for the problems and difficulties in the current exploration situation.

[0043]A. The scheme design is very flexible. The expected size and shape of the exploration target should be considered in the design, whether the acquisition can be carried out along the key seismic lines or between the seismic lines, the construction feasibility and the complexity of the surface environment.

[0044] B. According to different exploration targets, the range of sample point spacing varies greatly, from 50-100m to 500-1000m.

[0045] C. A ...

Embodiment 2

[0076] A method for oil and gas microbial gene exploration, the difference from Example 1 is that in the sampling of step S3, the most suitable sampling depth of the sampling point is determined by the following steps:

[0077] S31, sampling at 10, 20, 30, 40, 50, 60, 70, 80, 90, 100cm respectively;

[0078] S32, detecting the total amount of microorganisms at a sampling depth of 50cm and 60cm;

[0079] S33, comparing the total microbial load of the two sampling depths;

[0080] S34, along the direction in which the total amount of microorganisms increases at the two sampling depths, take the other nearest sampling depth to detect the total amount of microorganisms;

[0081] S35, repeat steps S33 and S34 until no sample can be detected;

[0082] S36, the best sampling depth

[0083] Among them, Hm is the logarithmic value of the sampling depth of the maximum microbial total amount, a is a constant, which is 6-9, b is the corrected depth, which is 40-60cm, H is the samplin...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The present invention discloses an oil-gas microorganism gene exploration method. The method comprises the following steps: respectively collecting samples of surface shallow layers above a known oilwell, a gas well and a dry well in an exploration area, performing high-throughput sequencing after extracting DNA, establishing a microbial community composition pattern diagram in the exploration area according to a sequencing result, respectively screening out characteristic microorganisms in surface soil above the oil / gas well in the exploration area according to the pattern diagram, and designing primers according to attribute characteristics and carrying out a fluorescent quantitative PCR detection on the samples in the whole exploration area to detect the number of the characteristic microorganisms. A contour line of the characteristic microorganisms obtained by the oil-gas microorganism gene exploration method has a high coincidence rate with the known well, has a good coincidencerate with a trap line, and can carefully describe an oil area.

Description

technical field [0001] The invention belongs to the technical field of oil and gas exploration, and relates to a method for oil and gas microbial gene exploration. Background technique [0002] Oil and gas microbial exploration method originated from the former Soviet Union. As early as 1937, Mogilewskii, a former Soviet geomicrobiologist, discovered that the hydrocarbon gas in the near-surface soil caused seasonal changes due to bacterial reproduction, and then proposed a microbial exploration method for oil and natural gas, and used methane-oxidizing bacteria in practice. Indicator bacteria for underground gas reservoirs. In the late 1950s, Dr. Hitzman, an American geomicrobiologist, developed an oil and gas microbial survey technique MOST (Microbial Oil Survey Technique) for Phillips Petroleum Company, which uses the characteristics of butane-oxidizing bacteria that can directly metabolize butanol to detect its abundance , identifying hydrocarbon enrichment phenomena by...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): C12Q1/689C12Q1/64C12Q1/24C12Q1/06C12Q1/04
CPCC12Q1/24C12Q1/64C12Q1/689
Inventor 王青华
Owner 新方舟能源科技(天津)有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Eureka Blog
Learn More
PatSnap group products